Role Overview As the Senior Manager, Business Intelligence & Analytics, you will be a key member of the Global Data, Advanced Analytics & AI Leadership Team, responsible for defining and executing the enterprise Business Intelligence and Analytics strategy that enables data-driven decision making across the organisation. You will provide strategic leadership across analytics, reporting, insight generation, KPI governance, and self-service analytics capabilities while partnering closely with executive stakeholders to identify opportunities where data, analytics, and AI can accelerate business growth, operational efficiency, and customer outcomes. As a senior leader, you will help shape the future direction of the Data, Advanced Analytics & AI function, contribute to organisational strategy, build high-performing teams, and champion a culture of innovation, accountability, collaboration, and continuous learning. This role requires a leader who can balance strategic vision with operational excellence, influence senior stakeholders globally, and inspire teams to deliver measurable business outcomes through data and AI. Key Responsibilities Functional Leadership • Define and execute the Business Intelligence & Analytics vision, strategy, and operating model. • Contribute to the overall direction, priorities, and success of the function. • Develop and maintain a multi-year roadmap that advances analytics maturity, self-service capabilities, and AI-enabled insights across the organisation. • Ensure investments in analytics deliver measurable business value and align with strategic priorities. Enterprise Influence & Executive Partnership • Act as a trusted advisor to senior executives and business leaders on business performance, analytics strategy, and data-driven decision making. • Influence decision making at all levels through compelling insight storytelling and evidence-based recommendations. • Build strong partnerships across Commercial, Product, Technology, Operations, Finance, Supply Chain, and Customer functions. • Represent the Data, Advanced Analytics & AI function in leadership forums, steering committees, and executive discussions. Leadership of People and Culture • Build, lead, and develop a high-performing global team of Business Intelligence and Analytics professionals. • Create an environment that encourages innovation, ownership, healthy challenge, continuous learning, and collaboration. • Foster an inclusive and psychologically safe culture where diverse perspectives are valued and individuals can perform at their best. • Develop future leaders through coaching, mentoring, succession planning, and career development. • Drive high standards of accountability, execution excellence, and customer-centric thinking across the team. Transformation & Change Leadership • Lead organisational change initiatives that increase adoption of data-driven decision making and AI-enabled ways of working. • Challenge existing processes and ways of working to drive simplification, automation, and operational excellence. • Build organisational confidence in data and AI through transparency, governance, and measurable business outcomes. • Champion innovation and encourage experimentation with emerging technologies and AI capabilities. Business Intelligence & Analytics • Lead enterprise reporting, dashboarding, scorecards, and self-service analytics capabilities. • Establish and govern enterprise KPI definitions, performance measurement frameworks, and reporting standards. • Ensure delivery of trusted, timely, and actionable insights that support strategic and operational decision making. • Drive analytics initiatives that identify growth opportunities, operational improvements, and risk mitigation strategies. AI-Enabled Analytics • Identify opportunities where Artificial Intelligence, Machine Learning, and Generative AI can enhance business insight generation and decision making. • Collaborate with Data Product Management, Data Science, Data Engineering, and AI Engineering teams to deliver AI-powered analytics solutions. • Ensure responsible and ethical adoption of AI capabilities while maintaining trust and transparency. Data Governance & Quality • Promote trusted, governed, and high-quality data as the foundation of analytics and AI. • Partner with Data Governance, Architecture, and Engineering teams to improve data quality, accessibility, consistency, and lineage. • Establish standards and controls to ensure integrity of business reporting and analytics outputs. Stakeholder Management • Partner with business leaders to understand strategic challenges and identify opportunities for analytics-driven value creation. • Prioritise analytics investments and initiatives based on business impact and strategic alignment. • Communicate complex analytical findings in a clear and compelling manner to technical and non-technical audiences. Key Competencies Strategic Leadership • Ability to define a compelling vision and translate strategy into measurable outcomes. • Thinks beyond immediate priorities and anticipates future business, technology, and AI trends. • Balances short-term delivery needs with long-term capability building. Executive Presence • Demonstrates credibility and confidence when engaging with executive leadership. • Communicates with clarity, influence, and impact. • Able to challenge constructively and navigate complex stakeholder environments. People Leadership • Proven ability to inspire, motivate, and develop high-performing teams. • Creates a culture of trust, accountability, and continuous improvement. • Successfully leads through ambiguity, change, and transformation. Commercial & Business Acumen • Strong understanding of how analytics drives business value and competitive advantage. • Connects analytics investments to measurable commercial and operational outcomes. • Makes prioritisation decisions based on value, risk, and strategic importance. Innovation & AI Mindset • Demonstrates curiosity and embraces emerging technologies. • Champions adoption of AI and automation to improve productivity and decision making. • Encourages experimentation while maintaining appropriate governance and controls. Required Experience • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related discipline. • 10+ years of experience in Business Intelligence, Analytics, Data Management, or related fields. • Proven experience leading enterprise-scale analytics and reporting functions. • Significant experience leading and developing multi-disciplinary analytics teams. • Experience influencing executive stakeholders and supporting strategic business decisions. • Demonstrated success leading organisational change, transformation, and adoption of data-driven ways of working. • Experience leveraging AI, Machine Learning, or Generative AI capabilities to enhance business performance is highly desirable.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.